Table 3. Model fit indices of the measurement models for each country of data collection.
| Country of data collection | χ2 (df) | p | RMSEA | CFI |
|---|---|---|---|---|
| Austria | 7495.54 (224) | < .001 | .04 | .96 |
| Cyprus | 356.34 (224) | < .001 | .07 | .91 |
| Finland | 605.63 (224) | < .001 | .05 | .95 |
| Germany | 545.78 (224) | < .001 | .05 | .95 |
| India | 1500.48 (224) | < .001 | .05 | .93 |
| North Macedonia | 878.16 (224) | < .001 | .05 | .93 |
| Poland | 467.21 (202) | < .001 | .07 | .92 |
| USA | 653.63 (224) | < .001 | .06 | .91 |
Note. CFAs applying robust maximum likelihood estimation (MLR) were conducted to assess construct validity of the measurement model for each country. Goodness-of-fit was evaluated using χ2 test of model fit, the comparative fit index (CFI), and the root mean square error of approximation (RMSEA). CFI > 0.95 and 0.90, and RMSEA < .06 and.08 were considered as cutoff scores accounting for excellent, respectively adequate model fit.